Estimation of lithium clearance from routine clinical data in Egyptian bipolar patients. A population pharmacokinetic approach

2008 ◽  
Vol 46 (12) ◽  
pp. 617-626 ◽  
Author(s):  
E.S. ELDesoky ◽  
V. Kumar ◽  
M.S. Alorainy ◽  
M.M. Hamdi ◽  
H. Derendorf
2018 ◽  
Vol 37 ◽  
pp. S166-S167
Author(s):  
K. Fukushima ◽  
K. Omura ◽  
S. Goshi ◽  
M. Tanaka ◽  
A. Okada ◽  
...  

2016 ◽  
Vol 81 (3) ◽  
pp. 538-552 ◽  
Author(s):  
Jens Markus Borghardt ◽  
Benjamin Weber ◽  
Alexander Staab ◽  
Christina Kunz ◽  
Stephan Formella ◽  
...  

2019 ◽  
Vol 22 ◽  
pp. 112-121 ◽  
Author(s):  
Esther Oyaga-Iriarte ◽  
Asier Insausti ◽  
Lorea Bueno ◽  
Onintza Sayar ◽  
Azucena Aldaz

Purpose: The present study was performed to demonstrate that small amounts of routine clinical data allow to generate valuable knowledge. Concretely, the aims of this research were to build a joint population pharmacokinetic model for capecitabine and three of its metabolites (5-DFUR, 5-FU and 5-FUH2) and to determine optimal sampling times for therapeutic drug monitoring. Methods: We used data of 7 treatment cycles of capecitabine in patients with metastatic colorectal cancer. The population pharmacokinetic model was built as a multicompartmental model using NONMEM and was internally validated by visual predictive check. Optimal sampling times were estimated using PFIM 4.0 following D-optimality criterion. Results: The final model was a multicompartmental model which represented the sequential transformations from capecitabine to its metabolites 5-DFUR, 5-FU and 5-FUH2 and was correctly validated. The optimal sampling times were 0.546, 0.892, 1.562, 4.736 and 8 hours after the administration of the drug. For its correct implementation in clinical practice, the values were rounded to 0.5, 1, 1.5, 5 and 8 hours after the administration of the drug. Conclusions: Capecitabine, 5-DFUR, 5-FU and 5-FUH2 can be correctly described by the joint multicompartmental model presented in this work. The aforementioned times are optimal to maximize the information of samples. Useful knowledge can be obtained for clinical practice from small databases.


2014 ◽  
Vol 78 (5) ◽  
pp. 1113-1121 ◽  
Author(s):  
Frantz Foissac ◽  
Candice Meyzer ◽  
Pierre Frange ◽  
Hélène Chappuy ◽  
Sihem Benaboud ◽  
...  

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